CVE-2025-49000: CWE-400: Uncontrolled Resource Consumption in inventree InvenTree
InvenTree is an Open Source Inventory Management System. Prior to version 0.17.13, the skip field in the built-in `label-sheet` plugin lacks an upper bound, so a large value forces the server to allocate an enormous Python list. This lets any authenticated label-printing user trigger a denial-of-service via memory exhaustion. the issue is fixed in versions 0.17.13 and higher. No workaround is available aside from upgrading to the patched version.
AI Analysis
Technical Summary
CVE-2025-49000 is a vulnerability identified in the open-source inventory management system InvenTree, specifically affecting versions prior to 0.17.13. The issue arises from the built-in 'label-sheet' plugin, where the 'skip' field parameter lacks an upper bound validation. This flaw allows an authenticated user with label-printing privileges to supply an excessively large value for the 'skip' parameter. When processed, the server attempts to allocate a very large Python list in memory, leading to uncontrolled resource consumption. This can exhaust server memory resources, resulting in a denial-of-service (DoS) condition that disrupts the availability of the InvenTree service. The vulnerability is categorized under CWE-400 (Uncontrolled Resource Consumption) and CWE-770 (Allocation of Resources Without Limits or Throttling). Exploitation requires authentication and user interaction (triggering label printing), but no privilege escalation is necessary beyond label-printing rights. The CVSS v3.1 base score is 3.5 (low severity), reflecting the limited impact on confidentiality and integrity, but a tangible impact on availability. No known exploits are currently reported in the wild, and the only remediation is upgrading to InvenTree version 0.17.13 or later, where the issue has been fixed by implementing appropriate input validation and resource allocation limits. No effective workaround exists aside from patching.
Potential Impact
For European organizations utilizing InvenTree for inventory management, this vulnerability poses a risk primarily to service availability. An attacker with authenticated label-printing access could intentionally cause memory exhaustion, leading to server crashes or degraded performance. This could disrupt inventory operations, delay order processing, or impact supply chain management, especially in sectors relying heavily on real-time inventory data such as manufacturing, logistics, and retail. Although the vulnerability does not compromise data confidentiality or integrity, the denial-of-service could cause operational downtime and potential financial losses. Organizations with multi-tenant deployments or limited server resources are particularly vulnerable. Given the requirement for authentication, the threat is more relevant to insider threats or compromised user accounts rather than external unauthenticated attackers. The lack of known exploits reduces immediate risk, but the availability of source code and public disclosure means attackers could develop exploits if motivated.
Mitigation Recommendations
The primary and only effective mitigation is to upgrade InvenTree installations to version 0.17.13 or later, where input validation and resource allocation limits have been implemented to prevent this uncontrolled resource consumption. Organizations should audit their InvenTree deployments to identify affected versions and prioritize patching. Additionally, limiting label-printing permissions strictly to trusted users reduces the attack surface. Monitoring server memory usage and setting resource limits at the operating system or container level can help detect and mitigate abnormal consumption patterns. Implementing application-layer rate limiting on label-printing requests may also reduce the risk of exploitation. Regularly reviewing user accounts and enforcing strong authentication policies will help prevent unauthorized access that could lead to exploitation. Since no workaround exists, patching remains the critical step.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Poland, Sweden
CVE-2025-49000: CWE-400: Uncontrolled Resource Consumption in inventree InvenTree
Description
InvenTree is an Open Source Inventory Management System. Prior to version 0.17.13, the skip field in the built-in `label-sheet` plugin lacks an upper bound, so a large value forces the server to allocate an enormous Python list. This lets any authenticated label-printing user trigger a denial-of-service via memory exhaustion. the issue is fixed in versions 0.17.13 and higher. No workaround is available aside from upgrading to the patched version.
AI-Powered Analysis
Technical Analysis
CVE-2025-49000 is a vulnerability identified in the open-source inventory management system InvenTree, specifically affecting versions prior to 0.17.13. The issue arises from the built-in 'label-sheet' plugin, where the 'skip' field parameter lacks an upper bound validation. This flaw allows an authenticated user with label-printing privileges to supply an excessively large value for the 'skip' parameter. When processed, the server attempts to allocate a very large Python list in memory, leading to uncontrolled resource consumption. This can exhaust server memory resources, resulting in a denial-of-service (DoS) condition that disrupts the availability of the InvenTree service. The vulnerability is categorized under CWE-400 (Uncontrolled Resource Consumption) and CWE-770 (Allocation of Resources Without Limits or Throttling). Exploitation requires authentication and user interaction (triggering label printing), but no privilege escalation is necessary beyond label-printing rights. The CVSS v3.1 base score is 3.5 (low severity), reflecting the limited impact on confidentiality and integrity, but a tangible impact on availability. No known exploits are currently reported in the wild, and the only remediation is upgrading to InvenTree version 0.17.13 or later, where the issue has been fixed by implementing appropriate input validation and resource allocation limits. No effective workaround exists aside from patching.
Potential Impact
For European organizations utilizing InvenTree for inventory management, this vulnerability poses a risk primarily to service availability. An attacker with authenticated label-printing access could intentionally cause memory exhaustion, leading to server crashes or degraded performance. This could disrupt inventory operations, delay order processing, or impact supply chain management, especially in sectors relying heavily on real-time inventory data such as manufacturing, logistics, and retail. Although the vulnerability does not compromise data confidentiality or integrity, the denial-of-service could cause operational downtime and potential financial losses. Organizations with multi-tenant deployments or limited server resources are particularly vulnerable. Given the requirement for authentication, the threat is more relevant to insider threats or compromised user accounts rather than external unauthenticated attackers. The lack of known exploits reduces immediate risk, but the availability of source code and public disclosure means attackers could develop exploits if motivated.
Mitigation Recommendations
The primary and only effective mitigation is to upgrade InvenTree installations to version 0.17.13 or later, where input validation and resource allocation limits have been implemented to prevent this uncontrolled resource consumption. Organizations should audit their InvenTree deployments to identify affected versions and prioritize patching. Additionally, limiting label-printing permissions strictly to trusted users reduces the attack surface. Monitoring server memory usage and setting resource limits at the operating system or container level can help detect and mitigate abnormal consumption patterns. Implementing application-layer rate limiting on label-printing requests may also reduce the risk of exploitation. Regularly reviewing user accounts and enforcing strong authentication policies will help prevent unauthorized access that could lead to exploitation. Since no workaround exists, patching remains the critical step.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2025-05-29T16:34:07.174Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 683f61ea182aa0cae28c99c3
Added to database: 6/3/2025, 8:58:18 PM
Last enriched: 7/4/2025, 4:41:27 PM
Last updated: 8/5/2025, 2:44:35 AM
Views: 14
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